Quantum Entanglement Information Encoding Algorithm – Adaptive Noise Perturbation

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

Quantum entanglement offers a unique and potentially transformative approach to information encoding, promising enhanced security and efficient data transmission. This paper explores the application of adaptive noise perturbation to quantum entanglement, aiming to optimize information transfer through dynamic manipulation of environmental noise. We investigate a novel encoding scheme utilizing entangled states, employing quantum noise as a controllable perturbation to maximize entanglement fidelity and security. The core mechanism centers on designing a quantum encoding that adapts to the measured entanglement strength, thereby enhancing the algorithm's robustness and efficiency. This research presents a new approach to quantum information encoding, driven by the strategic exploitation of quantum entanglement.

DOI: 10.5281/zenodo.22582200

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